Smart City Gnosys
Smart city article details
| Title | Application Of Edge Computing-Based Information-Centric Networking In Smart Cities |
|---|---|
| ID_Doc | 9866 |
| Authors | Saleem M.; Saadon H.B.; Mahdi Hussin M.S.; Diame T.A.; Alubady R.; Abd Ghani M.K.; Günerhan H. |
| Year | 2023 |
| Published | Journal of Intelligent Systems and Internet of Things, 8, 2 |
| DOI | http://dx.doi.org/10.54216/JISIoT.080208 |
| Abstract | Many data resources and network availability are needed for the smart city applications to execute at their highest efficiency level. Demand for these objects is driving up data traffic, which in turn is placing strain on the network. The 5G-enabled Internet of Things applications address these difficulties in smart city applications. This article proposes an Information-centric Networking System using Multiaccess Edge Computing (ICNMEC) to reduce computation offloading and optimize data traffic. This system's 5G network slicing approaches combine edge computing and software characterization. Internet of Things applications have been used to store and analyze the information gathered. In addition, an algorithm known as OMNM (Optimized Memory Network Management) is created to control network traffic better and better use of storage. With minimal delays, network traffic, and storage ratio, the system's modeling tests demonstrate that it is very efficient. This method can progressively enhance the pace at which one can access and use the system. The performance assessment shows that the proposed method can improve the efficiency ratio of 95.141%, storage utilization ratio of 60.1%, and access rate by 0.9, reducing network traffic and delay by 0.6. © 2023, American Scientific Publishing Group (ASPG). All rights reserved. |
| Author Keywords | Edge computing; information access; memory; networking; smart city |
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